Senior MLOps Engineer
Tasks
- Automate deployment orchestration and environment management
- Build and maintain CI/CD pipelines
- Document infrastructure and operational procedures
- Ensure reliability scalability observability security
- Implement model governance and monitoring
- Integrate ML models into products
- Monitor and troubleshoot infrastructure and model performance issues
- Own ML model and infrastructure lifecycle
Perks/Benefits
Skills/Tech-stack
AWS | ArgoCD | Azure | Batch Processing | CI/CD | Compliance | DVC | Data Lake | Docker | ETL | GCP | GitHub Actions | Helm | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Machine Learning | Observability | Python | Security | Streaming processing | Terraform | “as-code”
Education
N/A
Roles
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